ActClarity documentation

Clear guidance for work that cannot stay theoretical.

Practical guides, workspace patterns, and implementation references for teams operationalising AI inventory, classification, evidence, and review readiness.

Built for U.S. and global AI governance teams
01StartCreate the first governed system record
02AssessDocument risk and obligation reasoning
03MaintainKeep evidence current as systems change

Implementation path

Move from policy language to repeatable governance work.

The documentation is organised around real workflows and accountable roles, with examples that can be adapted to your operating model.

01 / Getting started

Build the first complete AI system record.

Define scope, ownership, purpose, provider, deployment context, and the review cadence for one system.

Setup · fields · imports · ownership
02 / EU AI Act workflow

Translate classification questions into documented reasoning.

Use practical prompts and examples to structure assessment work across legal and product teams.

Risk questions · transparency · obligations · decisions
03 / Evidence operations

Keep model cards, controls, and approvals connected.

Design a maintenance rhythm that makes evidence usable at review time instead of merely stored.

Templates · ownership · freshness · exports

Documentation library

References for administrators, contributors, and reviewers.

01

Workspace setup

Configure fields, roles, review stages, and inventory imports.

02

Assessment guides

Understand the reasoning expected at each classification stage.

03

Evidence templates

Use structured patterns for model cards, controls, and approvals.

04

Security reference

Review access, history, exports, and governance responsibilities.

Operational guidance

A good template creates consistency without hiding judgment.

ActClarity documentation explains what to capture, why it matters, and where teams still need to make and record their own decision.

Explore it with your own system
Review-ready workspace

A practical first step

Bring one AI system. Leave with a clearer governance plan.

Map the system, walk through likely obligations, and see the evidence trail your teams can maintain together.

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